Triple
T7618045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McNamara Terminal ExpressTram |
E172411
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
ExpressTram
ExpressTram is an automated people mover system that transports passengers along the concourses of Detroit Metropolitan Wayne County Airport’s McNamara Terminal.
|
E677238
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ExpressTram | Statement: [McNamara Terminal ExpressTram, hasAlternativeName, ExpressTram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ExpressTram Context triple: [McNamara Terminal ExpressTram, hasAlternativeName, ExpressTram]
-
A.
Tram 18
Tram 18 is a tram line in Geneva’s public transport system that connects key districts within the city and its surrounding areas.
-
B.
O-Train
The O-Train is Ottawa’s urban rail transit system, providing light rail service across key corridors of Canada’s capital city.
-
C.
Tram 15
Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
-
D.
Trolebús
Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
-
E.
Tram 2000
Tram 2000 is a series of articulated light rail vehicles used for urban public transport in Zürich, Switzerland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ExpressTram Triple: [McNamara Terminal ExpressTram, hasAlternativeName, ExpressTram]
Generated description
ExpressTram is an automated people mover system that transports passengers along the concourses of Detroit Metropolitan Wayne County Airport’s McNamara Terminal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ExpressTram Target entity description: ExpressTram is an automated people mover system that transports passengers along the concourses of Detroit Metropolitan Wayne County Airport’s McNamara Terminal.
-
A.
Tram 18
Tram 18 is a tram line in Geneva’s public transport system that connects key districts within the city and its surrounding areas.
-
B.
O-Train
The O-Train is Ottawa’s urban rail transit system, providing light rail service across key corridors of Canada’s capital city.
-
C.
Tram 15
Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
-
D.
Trolebús
Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
-
E.
Tram 2000
Tram 2000 is a series of articulated light rail vehicles used for urban public transport in Zürich, Switzerland.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa4886ac819084188f54d280df35 |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c868714d7c8190aae66a3dd4e6214b |
completed | March 28, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_69c86a93e34c81908aaf0edb023ee78c |
completed | March 28, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c86af8330c8190a43c599e82fe465a |
completed | March 28, 2026, 11:57 p.m. |
Created at: March 27, 2026, 3:55 p.m.